Key capabilities of Quality Prediction Hub are:
- Automatic quality prediction using production data analytics.
- Wizard-based user interface for selecting machine data, quality data and ML model parameters.
- Visualization of machine and quality data, including run-time charts, distribution histograms and correlation map.
- Automatic pre-processing, aggregation, and feature generation for machine and quality data.
- Automatic training of selected ML model to solve a regression problem for quality prediction.
- Visualization of prediction results with True vs Predicted values chart, Feature Importance diagram and Model Accuracy analysis.
- Automatic update of views for user role engineer and process operator.
- Output of predicted quality results in relation to specified tolerances.
Last update: May 5, 2023